The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-11-30"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "63236804 (up from 62730726 yesterday: 0.81 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1467987 (up from 1459317 yesterday: 0.59 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12303183

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.32



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 13541221 157901 1.18 3415196 268045 1172 0.44 1.98
India 9462809 31118 0.33 871079 137621 482 0.35 1.45
Brazil 6335878 21138 0.33 660846 173120 287 0.17 2.73
Russia 2275936 26046 1.16 493939 39491 364 0.93 1.74
France 2275016 4443 0.20 418989 52819 409 0.78 2.32
Spain 1648187 19979 1.23 266969 45069 401 0.90 2.73
United Kingdom 1633733 12428 0.77 416986 58545 203 0.35 3.58
Italy 1601554 16376 1.03 641181 55576 672 1.22 3.47
Argentina 1424533 5726 0.40 174034 38730 257 0.67 2.72
Colombia 1316806 8430 0.64 167742 36766 182 0.50 2.79
Mexico 1113543 6472 0.58 140758 105940 285 0.27 9.51
Germany 1069912 14221 1.35 380766 16694 388 2.38 1.56
Poland 990811 5736 0.58 422673 17150 121 0.71 1.73
Peru 962530 0 0.00 40197 35923 0 0.00 3.73
Iran 962070 13321 1.40 269121 48246 372 0.78 5.01
South Africa 790004 2302 0.29 51479 21535 58 0.27 2.73
Ukraine 752343 10238 1.38 269190 12731 118 0.94 1.69
Turkey 638847 31219 5.14 242016 13746 188 1.39 2.15
Belgium 577345 746 0.13 74163 16645 98 0.59 2.88
Iraq 552549 2114 0.38 50816 12258 34 0.28 2.22
Chile 551743 1313 0.24 28864 15410 54 0.35 2.79
Indonesia 538883 4617 0.86 98314 16945 130 0.77 3.14
Netherlands 531930 4594 0.87 110427 9453 27 0.29 1.78
Czechia 523298 3575 0.69 106117 8295 157 1.93 1.59
Romania 475362 3826 0.81 168371 11331 138 1.23 2.38
Bangladesh 464932 2525 0.55 43011 6644 35 0.53 1.43
Philippines 431630 1766 0.41 33181 8392 19 0.23 1.94
Pakistan 400482 2458 0.62 54006 8091 66 0.82 2.02
Canada 381557 7895 2.11 109521 12147 101 0.84 3.18
Saudi Arabia 357360 232 0.06 6376 5896 12 0.20 1.65
Morocco 356336 2533 0.72 96385 5846 57 0.98 1.64
Israel 336846 1248 0.37 16662 2865 1 0.03 0.85
Switzerland 327072 8782 2.76 97850 4815 165 3.55 1.47
Portugal 298061 3262 1.11 114641 4505 78 1.76 1.51
Austria 282456 2748 0.98 123710 3184 79 2.54 1.13
Sweden 243129 0 0.00 96668 6681 0 0.00 2.75
Nepal 233452 1474 0.64 36428 1508 29 1.96 0.65
Jordan 219430 5123 2.39 104444 2751 57 2.12 1.25
Hungary 217122 5595 2.65 102344 4823 151 3.23 2.22
Ecuador 192685 568 0.30 17416 13461 38 0.28 6.99
Serbia 175438 6224 3.68 111373 1604 55 3.55 0.91
United Arab Emirates 168860 1107 0.66 25571 572 2 0.35 0.34
Panama 165806 1077 0.65 25475 3079 19 0.62 1.86
Japan 148962 1447 0.98 39771 2076 19 0.92 1.39
Bulgaria 145300 2814 1.97 66324 4035 221 5.79 2.78
Bolivia 144708 86 0.06 2147 8957 5 0.06 6.19
Dominican Republic 143988 515 0.36 13385 2331 1 0.04 1.62
Kuwait 142635 209 0.15 10157 880 2 0.23 0.62
Costa Rica 139638 2545 1.86 22051 1726 36 2.13 1.24
Qatar 138833 185 0.13 4400 237 0 0.00 0.17
Belarus 136647 1639 1.21 29385 1158 7 0.61 0.85
Georgia 135584 3216 2.43 74904 1267 37 3.01 0.93
Armenia 135124 356 0.26 27658 2164 22 1.03 1.60
Kazakhstan 132348 689 0.52 15012 1990 0 0.00 1.50
Croatia 128442 1830 1.45 59666 1786 74 4.32 1.39
Lebanon 127944 1000 0.79 32589 1018 14 1.39 0.80
Oman 123699 215 0.17 5196 1423 5 0.35 1.15
Guatemala 122062 91 0.07 10702 4171 5 0.12 3.42
Azerbaijan 121176 2981 2.52 55130 1392 31 2.28 1.15
Egypt 115911 370 0.32 6489 6650 14 0.21 5.74
Ethiopia 110074 540 0.49 10092 1706 6 0.35 1.55
Honduras 108253 365 0.34 7680 2918 9 0.31 2.70
Moldova 107364 347 0.32 24687 2304 14 0.61 2.15
Slovakia 105929 196 0.19 29857 839 23 2.82 0.79
Greece 105271 1044 1.00 47084 2406 85 3.66 2.29
Venezuela 102394 354 0.35 7245 897 3 0.34 0.88

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Texas 1238752 13634 1.11 227443 21896 53 0.24 1.77 42721.65 755.14 1 in 23
California 1230264 14809 1.22 248967 19173 22 0.11 1.56 31136.29 485.24 1 in 32
Florida 999319 6659 0.67 151498 18597 97 0.52 1.86 46528.13 865.87 1 in 21
Illinois 726304 6190 0.86 227744 12985 103 0.80 1.79 57316.47 1024.71 1 in 17
New York 647980 6819 1.06 115800 34605 44 0.13 5.34 33309.07 1778.85 1 in 30
Georgia 471563 2047 0.44 64230 9452 10 0.11 2.00 44414.07 890.23 1 in 23
Ohio 421063 6631 1.60 166089 6429 30 0.47 1.53 36021.85 550.00 1 in 28
Wisconsin 411730 2676 0.65 125350 3494 7 0.20 0.85 70714.41 600.09 1 in 14
Michigan 388942 10790 2.85 150634 9564 97 1.02 2.46 38945.39 957.66 1 in 26
Tennessee 374493 7975 2.18 86723 4602 48 1.05 1.23 54805.13 673.48 1 in 18
Pennsylvania 366835 5891 1.63 127111 10335 38 0.37 2.82 28654.53 807.30 1 in 35
North Carolina 364512 2734 0.76 69652 5261 21 0.40 1.44 34754.87 501.62 1 in 29
Indiana 338977 5665 1.70 124468 5723 38 0.67 1.69 50351.45 850.09 1 in 20
New Jersey 337304 3190 0.95 80651 16993 15 0.09 5.04 37975.32 1913.15 1 in 26
Arizona 326817 822 0.25 67118 6639 5 0.08 2.03 42918.13 871.84 1 in 23
Minnesota 318763 5794 1.85 133975 3652 15 0.41 1.15 56521.95 647.56 1 in 18
Missouri 306206 3797 1.26 90062 3861 11 0.29 1.26 49891.58 629.09 1 in 20
Alabama 249524 2295 0.93 43001 3578 1 0.03 1.43 50890.19 729.73 1 in 20
Virginia 237835 1893 0.80 44358 4062 4 0.10 1.71 27864.15 475.89 1 in 36
Colorado 232905 4133 1.81 98368 3037 34 1.13 1.30 40443.77 527.37 1 in 25
Louisiana 232414 169 0.07 44062 6420 13 0.20 2.76 49994.47 1381.00 1 in 20
Iowa 230631 1941 0.85 70721 2426 27 1.13 1.05 73098.54 768.92 1 in 14
Massachusetts 226132 1168 0.52 53405 10748 26 0.24 4.75 32539.31 1546.59 1 in 31
South Carolina 217487 1358 0.63 31096 4381 28 0.64 2.01 42241.03 850.89 1 in 24
Maryland 198370 1923 0.98 42999 4641 16 0.35 2.34 32811.86 767.66 1 in 30
Oklahoma 197745 2200 1.13 59290 1743 7 0.40 0.88 49973.83 440.49 1 in 20
Utah 195706 1897 0.98 60838 871 3 0.35 0.45 61044.47 271.68 1 in 16
Kentucky 179041 2116 1.20 56474 1908 12 0.63 1.07 40074.78 427.07 1 in 25
Washington 165019 2319 1.43 46449 2774 71 2.63 1.68 21670.56 364.29 1 in 46
Kansas 159915 4415 2.84 54683 1560 31 2.03 0.98 54891.10 535.47 1 in 18
Arkansas 157359 1112 0.71 34548 2502 32 1.30 1.59 52143.18 829.07 1 in 19
Mississippi 153270 1485 0.98 26065 3807 1 0.03 2.48 51499.44 1279.17 1 in 19
Nevada 152171 1644 1.09 41189 2144 8 0.37 1.41 49403.67 696.07 1 in 20
Nebraska 128407 1941 1.53 42856 1018 29 2.93 0.79 66380.52 526.26 1 in 15
Connecticut 117295 4714 4.19 35863 5020 59 1.19 4.28 32899.17 1408.02 1 in 30
Idaho 101698 1214 1.21 27471 929 9 0.98 0.91 56749.06 518.40 1 in 18
New Mexico 97095 1678 1.76 40806 1568 28 1.82 1.61 46305.64 747.80 1 in 22
South Dakota 80464 564 0.71 24153 946 3 0.32 1.18 90954.82 1069.34 1 in 11
North Dakota 79252 594 0.76 23794 933 7 0.76 1.18 103996.79 1224.31 1 in 10
Oregon 75431 1312 1.77 24276 912 7 0.77 1.21 17884.24 216.23 1 in 56
Montana 62198 397 0.64 22145 681 10 1.49 1.09 58195.43 637.18 1 in 17
Rhode Island 56723 2769 5.13 18714 1373 27 2.01 2.42 53544.54 1296.06 1 in 19
Puerto Rico 52545 843 1.63 13964 1106 12 1.10 2.10 16452.73 346.31 1 in 61
West Virginia 47842 845 1.80 18617 735 6 0.82 1.54 26770.04 411.27 1 in 37
Delaware 35654 403 1.14 8746 772 2 0.26 2.17 36614.62 792.80 1 in 27
Wyoming 33305 816 2.51 15295 215 0 0.00 0.65 57545.54 371.48 1 in 17
Alaska 32576 511 1.59 12276 121 0 0.00 0.37 44530.41 165.40 1 in 22
District of Columbia 21552 104 0.48 3465 680 0 0.00 3.16 30537.77 963.52 1 in 33
New Hampshire 21030 514 2.51 8331 526 0 0.00 2.50 15466.52 386.85 1 in 65
Hawaii 18223 85 0.47 2213 244 0 0.00 1.34 12870.51 172.33 1 in 78
Maine 11757 249 2.16 3869 194 3 1.57 1.65 8746.39 144.32 1 in 114
Vermont 4172 72 1.76 1757 69 2 2.99 1.65 6686.02 110.58 1 in 150

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 Texas 10761759 1238752 11.51 1911817 227443 11.90 371147.8
2 California 24025171 1230264 5.12 4106692 248967 6.06 608044.0
3 Florida 12427765 999319 8.04 1827291 151498 8.29 578634.8
4 Illinois 10497998 726304 6.92 1977865 227744 11.51 828452.2
5 New York 19421498 647980 3.34 3645268 115800 3.18 998351.8
6 Georgia 4314448 471563 10.93 564554 64230 11.38 406355.5
7 Ohio 6128597 421063 6.87 1210471 166089 13.72 524300.2
8 Wisconsin 4426030 411730 9.30 828736 125350 15.13 760168.3
9 Michigan 6677336 388942 5.82 1309026 150634 11.51 668612.4
10 Tennessee 4545436 374493 8.24 617205 86723 14.05 665201.3
11 Pennsylvania 3189513 366835 11.50 499361 127111 25.45 249142.0
12 North Carolina 5316284 364512 6.86 916668 69652 7.60 506888.0
13 Indiana 4259964 338977 7.96 1020930 124468 12.19 632772.6
14 New Jersey 6086496 337304 5.54 1049209 80651 7.69 685247.2
15 Arizona 2253689 326817 14.50 370482 67118 18.12 295958.1
16 Minnesota 4156622 318763 7.67 1053188 133975 12.72 737037.8
17 Missouri 3076377 306206 9.95 406922 90062 22.13 501248.6
18 Alabama 1584347 249524 15.75 177518 43001 24.22 323126.1
19 Virginia 3326327 237835 7.15 523477 44358 8.47 389704.1
20 Colorado 3218851 232905 7.24 973466 98368 10.10 558951.0
21 Louisiana 3403719 232414 6.83 505256 44062 8.72 732172.5
22 Iowa 1070816 230631 21.54 125195 70721 56.49 339395.3
23 Massachusetts 8400584 226132 2.69 1632597 53405 3.27 1208803.6
24 South Carolina 2399463 217487 9.06 432238 31096 7.19 466031.5
25 Maryland 4429749 198370 4.48 751640 42999 5.72 732713.1
26 Oklahoma 2071213 197745 9.55 361437 59290 16.40 523434.0
27 Utah 1824046 195706 10.73 318466 60838 19.10 568955.1
28 Kentucky 2583120 179041 6.93 497245 56474 11.36 578180.2
29 Washington 2894367 165019 5.70 282169 46449 16.46 380092.9
30 Kansas 822884 159915 19.43 132902 54683 41.15 282456.3
31 Arkansas 1683457 157359 9.35 247041 34548 13.98 557837.8
32 Mississippi 1135665 153270 13.50 134597 26065 19.37 381588.8
33 Nevada 1638099 152171 9.29 293791 41189 14.02 531823.4
34 Nebraska 1354171 128407 9.48 314473 42856 13.63 700044.2
35 Connecticut 3261454 117295 3.60 823642 35863 4.35 914780.2
36 Idaho 473037 101698 21.50 64729 27471 42.44 263962.0
37 New Mexico 1558291 97095 6.23 295809 40806 13.79 743165.5
38 South Dakota 328852 80464 24.47 50049 24153 48.26 371727.4
39 North Dakota 1088089 79252 7.28 180717 23794 13.17 1427822.1
40 Oregon 1044117 75431 7.22 129440 24276 18.75 247553.8
41 Montana 656021 62198 9.48 115108 22145 19.24 613804.7
42 Rhode Island 1550160 56723 3.66 292521 18714 6.40 1463297.2
44 West Virginia 1137951 47842 4.20 280866 18617 6.63 636741.7
45 Delaware 740434 35654 4.82 146635 8746 5.96 760383.4
46 Wyoming 419587 33305 7.94 274429 15295 5.57 724977.1
47 Alaska 1011396 32576 3.22 243399 12276 5.04 1382547.9
48 District of Columbia 695256 21552 3.10 136442 3465 2.54 985132.1
49 New Hampshire 810663 21030 2.59 144876 8331 5.75 596202.4
50 Hawaii 669762 18223 2.72 102768 2213 2.15 473038.5
51 Maine 875799 11757 1.34 177396 3869 2.18 651533.4
52 Vermont 552954 4172 0.75 106627 1757 1.65 886159.8

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4072678 407791 1929 0.48 10.01 7433 906 125408 21855 5.36
Piemonte 1558737 167516 1185 0.71 10.75 4737 388 74943 6239 3.72
Campania 1586159 155319 1626 1.06 9.79 2141 182 104527 1673 1.08
Veneto 2791439 145592 2003 1.39 5.22 2460 320 80665 3711 2.55
Emilia-Romagna 2120489 123073 2041 1.69 5.80 2755 249 71734 5753 4.67
Lazio 2214307 119780 1589 1.34 5.41 3384 350 90201 2367 1.98
Toscana 1568208 103441 893 0.87 6.60 1584 278 42026 2641 2.55
Sicilia 959923 63686 1138 1.82 6.63 1547 226 40624 1555 2.44
Puglia 784515 54320 1102 2.07 6.92 1692 209 38772 1483 2.73
Liguria 600386 51684 236 0.46 8.61 997 113 12216 2387 4.62
Friuli Venezia Giulia 720175 30650 575 1.91 4.26 633 55 14515 838 2.73
Marche 411597 29806 252 0.85 7.24 585 87 17916 1264 4.24
Abruzzo 411685 28024 556 2.02 6.81 714 76 18192 893 3.19
Umbria 416530 23808 68 0.29 5.72 366 65 8235 407 1.71
P.A. Bolzano 311399 23777 183 0.78 7.64 428 37 11322 531 2.23
Sardegna 372806 21475 329 1.56 5.76 580 70 13528 444 2.07
Calabria 364247 16714 270 1.64 4.59 400 42 10970 295 1.76
P.A. Trento 375814 15733 176 1.13 4.19 415 44 2448 654 4.16
Basilicata 151705 8142 92 1.14 5.37 150 22 6192 153 1.88
Valle d’Aosta 60435 6510 47 0.73 10.77 124 11 1317 315 4.84
Molise 91865 4713 87 1.88 5.13 62 14 2720 118 2.50

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 142371 1333 0.95 7056 23 0.33 4.96 16675.62 826.45 1 in 60
Ontario 119897 1747 1.48 3672 11 0.30 3.06 8149.70 249.60 1 in 123
Alberta 58177 1733 3.07 541 8 1.50 0.93 13182.66 122.59 1 in 76
British Columbia 33238 2354 7.62 441 46 11.65 1.33 6503.33 86.29 1 in 154
Manitoba 16825 342 2.07 312 11 3.65 1.85 12214.01 226.49 1 in 82
Saskatchewan 8564 325 3.94 47 2 4.44 0.55 7247.39 39.77 1 in 138
Nova Scotia 1305 48 3.82 65 0 0.00 4.98 1335.10 66.50 1 in 749
New Brunswick 501 6 1.21 7 0 0.00 1.40 642.31 8.97 1 in 1557
Newfoundland and Labrador 338 1 0.30 4 0 0.00 1.18 648.30 7.67 1 in 1542
Nunavut 181 4 2.26 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 72 0 0.00 0 0 NaN 0.00 455.24 0.00 1 in 2197
Yukon 47 2 4.44 1 0 0.00 2.13 1144.16 24.34 1 in 874
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 41385.15 819.21 1 in 24
India 7067.07 102.78 1 in 142
Brazil 30271.75 827.14 1 in 33
Russia 15750.42 273.29 1 in 63
France 33960.53 788.46 1 in 29
Spain 35323.34 965.90 1 in 28
United Kingdom 24589.60 881.17 1 in 41
Italy 26480.72 918.92 1 in 38
Argentina 32178.29 874.86 1 in 31
Colombia 26835.26 749.26 1 in 37
Mexico 8618.75 819.97 1 in 116
Germany 12923.20 201.64 1 in 77
Poland 26087.70 451.55 1 in 38
Peru 29920.11 1116.66 1 in 33
Iran 11853.99 594.46 1 in 84
South Africa 13928.14 379.67 1 in 72
Ukraine NA NA 1 in NA
Turkey 7905.54 170.10 1 in 126
Belgium 50644.30 1460.09 1 in 20
Iraq 14438.18 320.30 1 in 69

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 400919 7655 1.91
Cook Illinois 306369 6669 2.18
Miami-Dade Florida 229618 3835 1.67
Maricopa Arizona 205658 3982 1.94
Harris Texas 191513 3009 1.57
Dallas Texas 138798 1573 1.13
Clark Nevada 116346 1767 1.52
Broward Florida 107524 1664 1.55
Tarrant Texas 100650 1026 1.02
San Bernardino California 93671 1129 1.21
Queens New York 90398 7355 8.14
Kings New York 89127 7507 8.42
Riverside California 87383 1437 1.64
El Paso Texas 86172 1078 1.25
San Diego California 82043 997 1.22
Bexar Texas 81174 1498 1.85
Salt Lake Utah 80533 401 0.50
Orange California 78553 1577 2.01
Milwaukee Wisconsin 73097 748 1.02
Hennepin Minnesota 67336 1116 1.66
Philadelphia Pennsylvania 67283 1976 2.94
Palm Beach Florida 65372 1694 2.59
Wayne Michigan 65120 3222 4.95
Bronx New York 63997 5024 7.85
Suffolk New York 61072 2053 3.36
Nassau New York 60701 2257 3.72
Orange Florida 58325 645 1.11
Hillsborough Florida 58293 932 1.60
Franklin Ohio 54467 672 1.23
St. Louis Missouri 51819 980 1.89
Westchester New York 50693 1515 2.99
Utah Utah 48889 133 0.27
Shelby Tennessee 48561 673 1.39
Oakland Michigan 46874 1364 2.91
Middlesex Massachusetts 46230 2425 5.25
Marion Indiana 46131 870 1.89
DuPage Illinois 45446 790 1.74
New York New York 45442 3229 7.11
King Washington 44348 881 1.99
Duval Florida 43978 604 1.37
Mecklenburg North Carolina 43661 454 1.04
Davidson Tennessee 43546 421 0.97
Hidalgo Texas 43020 2050 4.77
Kern California 41827 448 1.07
Cuyahoga Ohio 41446 746 1.80
Prince George’s Maryland 41297 931 2.25
Fulton Georgia 40794 704 1.73
Douglas Nebraska 40622 315 0.78
Oklahoma Oklahoma 40259 292 0.73
Gwinnett Georgia 39906 526 1.32
Pima Arizona 39859 691 1.73
Will Illinois 39020 565 1.45
Fresno California 38568 481 1.25
Travis Texas 38377 483 1.26
Fairfield Connecticut 38305 1507 3.93
Macomb Michigan 37706 1278 3.39
Lake Illinois 37596 634 1.69
Sacramento California 37415 576 1.54
Jefferson Kentucky 37230 445 1.20
Suffolk Massachusetts 36959 1248 3.38
Denver Colorado 36704 526 1.43
Providence Rhode Island 35980 1028 2.86
Essex New Jersey 35358 2230 6.31
Santa Clara California 35085 476 1.36
Bergen New Jersey 34871 2124 6.09
Essex Massachusetts 34835 1455 4.18
Polk Iowa 33896 336 0.99
Tulsa Oklahoma 33569 269 0.80
Montgomery Maryland 33400 954 2.86
Kent Michigan 33396 354 1.06
Hamilton Ohio 33221 372 1.12
Jefferson Alabama 33064 500 1.51
Pinellas Florida 33058 902 2.73
Lubbock Texas 32236 355 1.10
Kane Illinois 31955 469 1.47
Hudson New Jersey 31691 1573 4.96
Fairfax Virginia 31072 623 2.01
Middlesex New Jersey 30562 1490 4.88
Passaic New Jersey 30180 1316 4.36
Lee Florida 30113 584 1.94
Cobb Georgia 30075 506 1.68
Alameda California 29918 512 1.71
Adams Colorado 29665 336 1.13
New Haven Connecticut 29455 1256 4.26
Baltimore Maryland 29315 735 2.51
Lake Indiana 29183 469 1.61
Hartford Connecticut 28895 1604 5.55
Wake North Carolina 28758 289 1.00
Union New Jersey 28437 1434 5.04
Allegheny Pennsylvania 28404 510 1.80
Waukesha Wisconsin 28352 209 0.74
Dane Wisconsin 28265 83 0.29
Ramsey Minnesota 28256 505 1.79
Sedgwick Kansas 27966 150 0.54
DeKalb Georgia 27645 456 1.65
Polk Florida 27611 678 2.46
Johnson Kansas 27420 285 1.04
Arapahoe Colorado 27228 443 1.63
El Paso Colorado 27197 278 1.02
Bernalillo New Mexico 26784 341 1.27

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc